U.S. Air Force enlisted classification and reclassification: potential improvements using Machine Learning and optimization models
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Santa Monica, Calif.
RAND Corporation
[2022]
|
| Schriftenreihe: | Research reports
RR-A284-1 |
| Online-Zugang: | Volltext |
| Beschreibung: | 1 Online-Ressource (xvi, 126 Seiten) Diagramme |
| ISBN: | 1977407021 9781977407023 |
| DOI: | 10.7249/RR-A284-1 |
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| isbn | 1977407021 9781977407023 |
| language | English |
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| publishDate | 2022 |
| publishDateSearch | 2022 |
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| publisher | RAND Corporation |
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| spelling | Robson, Sean Verfasser aut U.S. Air Force enlisted classification and reclassification potential improvements using Machine Learning and optimization models Sean Robson, Maria C. Lytell, Matthew Walsh [und acht weitere] Santa Monica, Calif. RAND Corporation [2022] 1 Online-Ressource (xvi, 126 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Research reports RR-A284-1 Lytell, Maria C. Verfasser aut Walsh, Matthew Verfasser (DE-588)1245875329 aut https://doi.org/10.7249/RR-A284-1 Verlag kostenfrei Volltext |
| spellingShingle | Robson, Sean Lytell, Maria C. Walsh, Matthew U.S. Air Force enlisted classification and reclassification potential improvements using Machine Learning and optimization models |
| title | U.S. Air Force enlisted classification and reclassification potential improvements using Machine Learning and optimization models |
| title_auth | U.S. Air Force enlisted classification and reclassification potential improvements using Machine Learning and optimization models |
| title_exact_search | U.S. Air Force enlisted classification and reclassification potential improvements using Machine Learning and optimization models |
| title_exact_search_txtP | U.S. Air Force enlisted classification and reclassification potential improvements using Machine Learning and optimization models |
| title_full | U.S. Air Force enlisted classification and reclassification potential improvements using Machine Learning and optimization models Sean Robson, Maria C. Lytell, Matthew Walsh [und acht weitere] |
| title_fullStr | U.S. Air Force enlisted classification and reclassification potential improvements using Machine Learning and optimization models Sean Robson, Maria C. Lytell, Matthew Walsh [und acht weitere] |
| title_full_unstemmed | U.S. Air Force enlisted classification and reclassification potential improvements using Machine Learning and optimization models Sean Robson, Maria C. Lytell, Matthew Walsh [und acht weitere] |
| title_short | U.S. Air Force enlisted classification and reclassification |
| title_sort | u s air force enlisted classification and reclassification potential improvements using machine learning and optimization models |
| title_sub | potential improvements using Machine Learning and optimization models |
| url | https://doi.org/10.7249/RR-A284-1 |
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